Case Study with Utah State
Utah State University is using photogrammetry and virtual reality to design a new community on Powder Mountain in the Ogden Valley of Utah. Benjamin George, a professor of landscape architecture at USU, is using three Puget Systems workstations for this particular project, and says by using VR his students are able to design as if they are actually in the landscape. One of the Puget systems runs Pix4D for processing the thousands of images they took of the mountain, while the other two are used for design and modeling in VR.
Imagine being able to close your eyes and visualize what you want to create. With Puget Systems workstations, the students at Utah State are now able to work on projects that exceed what they were able to do before and do it faster.
PhotoScan / Metashape Workstation FAQ
Q: What is the difference between the two recommended systems?
A: Our recommended workstations differ in the number of video cards (GPUs) they support, the number of CPU cores available, and the maximum amount of RAM that can be installed. The compact system fits up to two GPUs and has an eight-core CPU, which runs at a very high clock speed. That makes it the fastest processor for building the mesh and texture in PhotoScan, but the limited number of cores and fewer GPUs reduces performance during the build dense cloud phase. Likewise, the 64GB memory maximum means that it isn't ideal for massive projects. It is easy to transport, though, with a carrying case option that works great for air travel.
On the other hand, the larger tower system can have a third GPU and more CPU cores. That makes it faster for build dense cloud, but a little slower when building the mesh. The additional RAM support, up to 128GB, also makes it much better suited for large projects.
Q: Is the CPU or GPU (video card) more important for PhotoScan?
A: PhotoScan needs a balance of both the CPU and video cards, and the usage of each varies across the different steps involved in using the application. The first two major steps, Align Photos and Build Dense Cloud, are the only core parts of the PhotoScan workflow to use video cards - but those steps can accounts for 50% or more of the total processing time, so the GPUs are extremely important to performance. Build Dense Cloud also uses multiple CPU cores to good effect, but the Build Mesh step is heavily dependent on clock speed; lowering that too much will hamper performance. You can read more both CPU and GPU scaling in the articles linked to on the right.
Q: How many video cards does PhotoScan support?
A: Agisoft has done a good job with supporting multiple GPUs. We've only tested up to four video cards at a time, since that is the most that even a large tower chassis can accommodate, and we have found that going from one to two GPUs decreases the time taken by the Build Dense Cloud task by about ~20-25%. Adding a third GPU decreases the build time by another ~10%, but adding a fourth GPU only saves another 1-3% percent. As such, we usually recommend 1 to 3 GPUs depending on your budget and how high of quality settings you use when building the dense point cloud.
Q: How much RAM do I need?
A: Memory requirements in PhotoScan depend directly on how many photos you are working with, the size of the images themselves, and the quality settings you want to use. Agisoft has published a handy document showing the RAM needs with different combinations of photos, using 12MP (megapixels) as a base image size. This can be used to estimate the amount of RAM you will need by factoring in your image count, photos size, and quality goals.
Q: Should I get a solid state drive (SSD) or hard drive (HDD)?
A: We strongly recommend using solid-state drives on all computers these days. They have a huge impact on every aspect of computer usage, from faster boot times to more responsive operation. PhotoScan will also load images more quickly from a fast drive, both at the start of a project and a couple times throughout processing. Image sets can also take up a lot of space, though, so having a secondary hard drive for archival of projects and other data is handy.
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